LE10 3LZ

• 1 crime within 500 mAugust, down 75% on JulyRugby 013A: 58 a year per 1,000 peopleMap point
• Hinckley (Leics), 2.8 kmAbout 35 minutes on footExact point
• No schools within 800 mNone found within 1.6 kmExact point
• No property in LE10 3LZ listed at risk of floodingFrom rivers or the sea, with flood defences, in the Environment Agency's assessmentPostcode
• England’s least deprived 30%This neighbourhood, Rugby 013ANeighbourhood
• £272,696 average priceFor the whole of Rugby, July 2026Council
• No GP practices within 1 kmNone found within 2 kmPostcode
• 2 supermarkets within 1 kmNearest is 670 m awayExact point
• 64% can get gigabit broadbandOf homes and businesses in this output area, January 2026Output area
• Low road and rail noise at LE10 3LZRoad 46 dB, rail 45 dB (Lden, modelled for 2021)Postcode
• Not in a radon Affected AreaUnder 1% of homes in this 1 km square are estimated to be at or above the radon Action Level1 km grid
• 11.8 µg/m³ nitrogen dioxideModelled yearly average for this 1 km square, 20251 km grid

• £325,000Watling Street, LE10 3EDApril 2026, semi-detached, established, freehold450 m
• £300,000Applebees Meadow, LE10 0FLMay 2026, semi-detached, established, freehold590 m

HM Land Registry sales at nearby postcodes, by street and postcode only, never a house number. Sales take weeks to be registered. Every sale on the map

Your MP

• John SlingerLabourMP for Rugby

As of 18 October 2026, from the UK Parliament Members API. Contains Parliamentary information licensed under the Open Parliament Licence v3.0. Source: UK Parliament, Members API.

• Street-level crimeAugust 2026Map point
• Rail and Tube stations2024/25Exact point
• SchoolsExact point
• Flood risk by postcodeJune 2026Postcode
• English Indices of Deprivation 20252025Neighbourhood
• Average house priceJuly 2026Council
• GP practicesPostcode
• SupermarketsExact point
• Gigabit broadband coverageJanuary 2026Output area
• Road and rail noise by postcode2021Postcode
• Radon potential1 km grid
• Nitrogen dioxide (NO2)20251 km grid

Counts, distances and walking times are worked out by Open Index from each layer’s published points and outlines, in a straight line from the postcode’s centre. Street names © OpenStreetMap contributors.